Popular GitHub Repositories for Affinity Publisher

Fail CI when dependencies in your lockfile lose npm provenance or trusted publisher status

TorchDR - PyTorch Dimensionality Reduction

Protein-compound affinity prediction through unified RNN-CNN

Inter-Region Affinity Distillation for Road Marking Segmentation (CVPR 2020)

Codebase and CLI for PLAPT: A state-of-the-art protein-ligand binding affinity model for drug discovery

The official implementation of DiffAbXL benchmarked in the paper "Exploring Log-Likelihood Scores for Ranking Antibody Sequence Designs", formerly titled "Benchmarking Generative Models for Antibody Design".

SSM-DTA: Breaking the Barriers of Data Scarcity in Drug-Target Affinity Prediction (Briefings in Bioinformatics 2023)

Official implementation of NeurIPS'23 paper "Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection"

This is the official repository of paper - GeoAB: Towards Realistic Antibody Design and Reliable Affinity Maturation (ICML2024)

Affinity Feature Strengthening for Accurate, Complete and Robust Vessel Segmentation(JBHI)

A list of papers and datasets about natural/color image segmentation (processing)

3DProtDTA: a deep learning model for drug-target affinity prediction based on residue-level protein graphs

SAnDReS (Statistical Analysis of Docking Results and Scoring functions) is a free and open-source computational environment for the development of machine-learning models for the prediction of ligand-binding affinity. We developed SAnDReS using Python programming language, and SciPy, NumPy, scikit-learn, and Matplotlib libraries as a computational

Source code for the paper "Affinity Fusion Graph-based Framework for Natural Image Segmentation".

Exploring QSAR Models for Activity-Cliff Prediction

Deep learning based human pose estimation demo in Python using Intel OpenVINO toolkit

DTITR: End-to-End Drug-Target Binding Affinity Prediction with Transformers

HPC Affinity Tracker (HPCAT) is designed to showcase NUMA, CPU core, NIC and GPU affinities in the context of High Performance Computing (HPC) applications.

This project shows how to perform customers segmentation using Machine Learning algorithms. Three techniques will be presented and compared: KMeans, Agglomerative Clustering ,Affinity Propagation and DBSCAN.

ROS 2 Project Builder is a CLI-based tool that automates the creation of ROS 2 packages and node structures. It supports both Python and C++, enabling fast generation of publishers, subscribers, services, actions, and more with customizable QoS and clean, modular code templates.